How severe does this issue affect your experience of using Ray?
- High: It blocks me to complete my task.
I am trying to run a job on a local cluster
my runtime_env contains:
pip: - autogluon==0.5.2
I’m currently testing with just a head node and no workers (for debugging purposes).
I have Ray 2.0.1 on the head node.
In my config.yaml, I have this image: rayproject/ray:2.0.1-py39-cpu
If I open a bash to my docker container and check the ray version, it is 2.0.1
Where could the ray version 1.13.0 be coming from?